Nvidia reveals Hopper “H100” GPU and 144-core Grace CPU


Nvidia has had a busy week of reveals with the H100 GPU and 144 core “Grace Superchip” coming into the limelight. The Superchip, specifically, is an unbelievable feat in laptop engineering for these eager about HPC CPUs. Nvidia has marketed the chip as 50% quicker that AMD’s flagchip Epyc CPU. This efficiency is, partly, introduced on by Nvidia’s implementation of a potential 1TB of LPDDR5x reminiscence and 144 cores over two CPUs working in tandem through Nvidia’s NVLink-C2C know-how. This brings the facility of two highly effective chips to a single socket

Image through Nvidia

This is nice information for the minority of people who work intently with tremendous computer systems regularly, however for the gaming group, the Nvidia’s new {hardware} offers us clues as to what their industrial model merchandise may need in retailer for the long run. The “Ada Lovelace” lineup of GPUs, which can probably include the RTX 4000 collection playing cards, might observe swimsuit to the server chips in a lot of methods.

Firstly, the H100 GPU will likely be operating on the Hopper structure. Nvidia’s Hopper design is constructed utilizing a customized TSMC 4nm course of. This is a step up from the 7nm course of that was used on the Ampere structure, which is the design from which the RTX 3000 GPUs, amongst others, are constructed. Presumably, the 4000 collection Ada Lovelace GPU’s also can make use of this 4nm design, which would offer a predictable improve in pace and power effectivity within the RTX 4000 collection over the 3000s, and even throw the RTX 4000 playing cards in an advantageous place towards AMDs but launched RDNA3 GPUs. Said AMD GPUs are rumored to be constructed on a 5nm course of.

Secondly, the Hopper structure is monolithic. This implies that their chip design is singular, as apposed to having a number of, smaller GPU modules working collectively on a single die. This is an assured weak point when in comparison with AMD’s RDNA3 design, which makes use of a chiplet method to assemble your entire GPU.

Which strengths and weak point in the end come out on high stays to be seen, and till Nvidia formally reveals the specs on the Ada Lovelace GPUs, we are able to’t know with absolute certainty if these seemingly predictions maintain any weight. At the very least, the Hopper structure factors us in a path of enchancment for graphical processing unit efficiency and availability at a time when GPUs are briefly order.



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